Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Oguducu, Sule Gunduz"'
Road traffic congestion prediction is a crucial component of intelligent transportation systems, since it enables proactive traffic management, enhances suburban experience, reduces environmental impact, and improves overall safety and efficiency. Al
Externí odkaz:
http://arxiv.org/abs/2408.01016
Graphs are crucial for representing interrelated data and aiding predictive modeling by capturing complex relationships. Achieving high-quality graph representation is important for identifying linked patterns, leading to improvements in Graph Neural
Externí odkaz:
http://arxiv.org/abs/2407.14765
Autor:
Islek, Irem, Oguducu, Sule Gunduz
Recommendation systems can provide accurate recommendations by analyzing user shopping history. A richer user history results in more accurate recommendations. However, in real applications, users prefer e-commerce platforms where the item they seek
Externí odkaz:
http://arxiv.org/abs/2403.12096
The effectiveness of Intrusion Detection Systems (IDS) is critical in an era where cyber threats are becoming increasingly complex. Machine learning (ML) and deep learning (DL) models provide an efficient and accurate solution for identifying attacks
Externí odkaz:
http://arxiv.org/abs/2402.00839
Despite the crucial importance of addressing Black Hole failures in Internet backbone networks, effective detection strategies in backbone networks are lacking. This is largely because previous research has been centered on Mobile Ad-hoc Networks (MA
Externí odkaz:
http://arxiv.org/abs/2402.00831
Recommendation has been a long-standing problem in many areas ranging from e-commerce to social websites. Most current studies focus only on traditional approaches such as content-based or collaborative filtering while there are relatively fewer stud
Externí odkaz:
http://arxiv.org/abs/2009.09748
Autor:
Tugay, Resul, Oguducu, Sule Gunduz
Singular Value Decomposition (SVD) is a well studied research topic in many fields and applications from data mining to image processing. Data arising from these applications can be represented as a matrix where it is large and sparse. Most existing
Externí odkaz:
http://arxiv.org/abs/2009.09767
Autor:
Tugay, Resul, Oguducu, Sule Gunduz
Supply and demand are two fundamental concepts of sellers and customers. Predicting demand accurately is critical for organizations in order to be able to make plans. In this paper, we propose a new approach for demand prediction on an e-commerce web
Externí odkaz:
http://arxiv.org/abs/2009.09756
Autor:
Islek, Irem, Oguducu, Sule Gunduz
Publikováno v:
In Electronic Commerce Research and Applications March-April 2022 52
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